Gander: the Preliminary Design and Evaluation of an AR+Tablet System for Geospatial Analysis

We explore the combination of headworn augmented reality (AR) displays and handheld tablet devices to support geospatial analysis. In this paper, we present the design of an AR+tablet prototype named Gander. Gander supports the selection of attributes when building a predictive model for some geospatial phenomenon, such as water pollution is correlated to the proximity of large cities, and the comparison of these models. We conducted a walkthrough evaluation with five experts in geospatial analysis and GIS tools. The experts identified strengths and weaknesses in Gander’s design. We propose new design changes such as the pancake plot, rank-based visualization, and reducing steps on the tablet interface.

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Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00059
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Gander: the Preliminary Design and Evaluation of an AR+Tablet System for Geospatial Analysis

Derek F. Reilly, Sathaporn Hu, Muhammad Hassan Raza
Data Management and Algorithms
article

Gander: the Preliminary Design and Evaluation of an AR+Tablet System for Geospatial Analysis

Derek F. Reilly, Sathaporn Hu, Muhammad Hassan Raza
article en

Abstract

We explore the combination of headworn augmented reality (AR) displays and handheld tablet devices to support geospatial analysis. In this paper, we present the design of an AR+tablet prototype named Gander. Gander supports the selection of attributes when building a predictive model for some geospatial phenomenon, such as water pollution is correlated to the proximity of large cities, and the comparison of these models. We conducted a walkthrough evaluation with five experts in geospatial analysis and GIS tools. The experts identified strengths and weaknesses in Gander’s design. We propose new design changes such as the pancake plot, rank-based visualization, and reducing steps on the tablet interface.

Dalhousie University (CA)
Mitacs
Openalex Percentile: Top 76%
Data Management and Algorithms
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